View source: R/distribution_convertors.R
norm2beta | R Documentation |
Convert normal to beta
norm2beta(x, shape1, shape2, mu = mean(x), sd = stats::sd(x), ...)
x |
the normally distributed vector |
shape1, shape2 |
non-negative parameters of the distribution to return |
mu |
the mean of x (calculated from x if not given) |
sd |
the SD of x (calculated from x if not given) |
... |
further arguments to pass to qbeta (e.g., ncp) |
a vector with a beta distribution
x <- rnorm(10000)
y <- norm2beta(x, 1, 3)
g <- ggplot2::ggplot() + ggplot2::geom_point(ggplot2::aes(x, y))
ggExtra::ggMarginal(g, type = "histogram")
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